With the aim to take advantage of ctc and attention, the CTC
and attention loss can be combined [1]}. Both CTC and attention-based methods have their own drawbacks. CTC often has poor results due to the assumption of conditional independence between output tokens. Since the estimated alignment in the attention mechanism is easily corrupted by noise, the performance of the attention model is also generally poor.
